Method for determining surivival prognosis of patients suffering from non-small cell lung cancer (NSCLC)
a prognosis technology, applied in the field of determining the survival prognosis of patients suffering from non-small cell lung cancer, can solve the problems of short survival time after resection, poor prognosis of most types of lung cancer, and only side effects of follow-up treatment, so as to achieve the effect of determining the survival prognosis
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example 1
Example Showing Measurements of Kinase Activity of NSCLC Tumor Tissue in the Presence and in the Absence of the Protein Kinase Inhibitor Gefitinib
[0103]The method of the present invention allows the measurement of the kinase activity in lysates prepared from fresh frozen NSCLC tumor tissue.
[0104]The inventors have surprisingly found that the survival prognosis can be classified by testing inhibition of kinase activity by studying kinase phosphorylation activity and inhibition levels in resection tissue from a tumor. The tumor content for each of the samples was higher than 70%, based on HE staining. 6 samples were taken from patients having a short survival (less than 9 months), 8 samples were taken from patients with a long survival period (over 95 months).
[0105]6 coupes of 10 μm thickness from tumor tissue were lysed in 100 microliter Mammalian Extraction Buffer (M-PER) containing phosphatase and protease inhibitors. After 30 minutes of lysis on ice, and centrifugation for 15 min ...
example 2
Example Showing the Survival Prognosis of NSCLC Patients
[0108]Tumor samples obtained from 2 classes of patients: short term survivors (6 samples) and long term survivors (8 samples) were incubated as described in example 1 on PamChip® arrays. The fluorescence from the spots in the images was quantified for quantitative purposes.
[0109]For each peptide the ratio of inhibited versus not inhibited signal was calculated and a one way ANOVA was performed to identify peptides with a significant difference between the long and short term survivors. Table 1 enlists 19 out of the 140 peptides that have a probability (p) for equal means over the 2 patient classes of p <0.01. A heatmap showing the ratio of inhibited versus not inhibited phosphorylation signal in each of the peptide markers listed in Table 1, is provided in FIG. 1. Whereas the dotted squares indicate a positive ratio and the non-dotted squares a negative ratio, the grey intensity of the squares is proportional to the ratio level...
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